Exploring the Multifaceted Roles of Trichoderma Secondary Metabolites
Bibliographic record
Abstract
The genus Trichoderma comprises many common fungi species that are distributed across the ecosystems. Trichoderma species have been successfully used as biofungicides due to their ability to protect plants and produce secondary metabolites (SMs) such as peptaibols, butenolides, pyridines, koninginins, and polyketide compounds. These SMs possess antimicrobial properties that allow the microbe to suppress or eliminate other pathogens, enabling it to secure a competitive nutritional niche. These SMs function as key agents in biocontrol strategies, contributing to crop protection and plant growth promotion, and are increasingly utilized in the development of bio-fertilizers. Trichoderma functions through multiple mechanisms that support plant health by inducing systemic resistance and by activating plant defense pathways. This article aims to review the bioactivity of selected Trichoderma-derived SMs with an emphasis on their beneficial effects, growth promoting attributes, and their effects on fungal prey. Additionally, the article provides a comprehensive overview of SMs in promoting sustainable agriculture and biological control.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".